Track accepted paper

CiteScore:
0.70ℹCiteScore:2017: 0.700CiteScore measures the average citations received per document published in this title. CiteScore values are based on citation counts in a given year (e.g. 2015) to documents published in three previous calendar years (e.g. 2012 – 14), divided by the number of documents in these three previous years (e.g. 2012 – 14).

Source Normalized Impact per Paper (SNIP):
0.287ℹSource Normalized Impact per Paper (SNIP):2017: 0.287SNIP measures contextual citation impact by weighting citations based on the total number of citations in a subject field.

SCImago Journal Rank (SJR):
0.341ℹSCImago Journal Rank (SJR):2017: 0.341SJR is a prestige metric based on the idea that not all citations are the same. SJR uses a similar algorithm as the Google page rank; it provides a quantitative and a qualitative measure of the journal’s impact.

Author StatsℹAuthor Stats:Publishing your article with us has many benefits, such as having access to a personal dashboard: citation and usage data on your publications in one place. This free service is available to anyone who has published and whose publication is in Scopus.

Public repositories to store and find data

All data described in an article submitted to Data in Brief must be made publicly available. This can be via:

1. The article. You can upload datasets as individual zip files during the submission process in our electronic submission system, but the system may not be able to process very large datasets.

2. Public repositories. There are many public repositories to which you can upload your datasets, some of which are field specific. See our list of supported data repositories.

3. Mendeley Data. If you aren’t sure where exactly you should put your data, or you have data that falls outside of the data accepted by the established repository in your field, you can upload your files to Mendeley Data which has a limit of 10GB per dataset (uploading and labelling each individual .zip file would be best here). Mendeley Data, with which Data in Brief is collaborating, is free for the journal’s authors. If you choose this route, you upload all your data files into Mendeley Data without hitting ‘publish’. This means the editor and reviewers can look at your data during the review process (and you can still make changes to the data and metadata), but the data is not yet publicly available. Then, when you submit your final, revised version, you can formally publish your dataset on Mendeley Data, which makes it fully open access to everyone, and provides the final dataset DOI in your Data in Brief article. The two will be both linked and archived after that.